ARahim3/DigUp

Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.

Open original source ↗

From the publisher

README & documentation

Source preview

Read the project’s overview, installation instructions and usage examples. The original README is the source of truth.

DigUp Describe it. Dig it up. Search the files on your computer by what's in them, with Google DeepMind's EmbeddingGemma 2. Download for Mac · Windows (beta) · Linux (beta) Free and open source. Everything runs on your computer. EmbeddingGemma 2 is the multimodal embedding model Google DeepMind released in October 2026. It puts text, images, audio and video into one shared space: a photo of a dog on a beach lands next to the words "a dog on the beach", and a recording of someone talking about sleep lands next to "where they talk about sleep". It understands more than 100 languages, it's open (Apache 2.0), and at 740M parameters it's small enough to run on a laptop. DigUp brings that to the files on your computer, on a Mac, on Windows or on Linux. Pick the folders to search, and it reads the pictures, PDFs, documents, recordings and…

ARahim3/DigUp on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-31T02:38:08.666Z

Inside the original README — Document outline
  1. What you can find
  2. Private
  3. Install
  4. Using it
  5. What it reads
  6. Code
  7. How it works
  8. Build from source
  9. FAQ
  10. Support
  11. Thanks
  12. License

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.

Repository facts

Owner
ARahim3
Primary language
Swift
Stars
6,076
Forks
477
Open issues + pull requests
72
License
MIT
Archived
No
Default branch
main
Created
2026-10-08T20:37:51.000Z
Last push
2026-10-26T20:44:04.000Z

Topics and intended use

Owner-supplied topics: embeddinggemma, embeddings, file-search, linux, llama-cpp, local-first, macos, menubar-app, multimodal, on-device, semantic-search, swift, tauri, windows

Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.

Evaluate before installing

Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.

README and project files

Issues and maintenance discussion

Releases and changelog

Source and freshness

Source: GitHub. Metadata observed 2026-11-01T12:18:40.947Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related repositories

krahets/hello-algo

vorssaint/vorssaint-utils

manaflow-ai/cmux

robbietilton/Compositor

Lakr233/vphone-cli

xtool-org/xtool